{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Multi step model (simple encoder-decoder)\n",
    "\n",
    "In this notebook, we demonstrate how to:\n",
    "- prepare time series data for training a RNN forecasting model\n",
    "- get data in the required shape for the keras API\n",
    "- implement a RNN model in keras to predict the next 3 steps ahead (time *t+1* to *t+3*) in the time series. This model uses a simple encoder decoder approach in which the final hidden state of the encoder is replicated across each time step of the decoder. \n",
    "- enable early stopping to reduce the likelihood of model overfitting\n",
    "- evaluate the model on a test dataset\n",
    "\n",
    "The data in this example is taken from the GEFCom2014 forecasting competition<sup>1</sup>. It consists of 3 years of hourly electricity load and temperature values between 2012 and 2014. The task is to forecast future values of electricity load.\n",
    "\n",
    "<sup>1</sup>Tao Hong, Pierre Pinson, Shu Fan, Hamidreza Zareipour, Alberto Troccoli and Rob J. Hyndman, \"Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond\", International Journal of Forecasting, vol.32, no.3, pp 896-913, July-September, 2016."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import warnings\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import datetime as dt\n",
    "from collections import UserDict\n",
    "from IPython.display import Image\n",
    "%matplotlib inline\n",
    "\n",
    "from common.utils import load_data, mape, TimeSeriesTensor, create_evaluation_df\n",
    "\n",
    "pd.options.display.float_format = '{:,.2f}'.format\n",
    "np.set_printoptions(precision=2)\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load data into Pandas dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>load</th>\n",
       "      <th>temp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2012-01-01 00:00:00</th>\n",
       "      <td>2,698.00</td>\n",
       "      <td>32.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-01 01:00:00</th>\n",
       "      <td>2,558.00</td>\n",
       "      <td>32.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-01 02:00:00</th>\n",
       "      <td>2,444.00</td>\n",
       "      <td>30.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-01 03:00:00</th>\n",
       "      <td>2,402.00</td>\n",
       "      <td>31.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-01 04:00:00</th>\n",
       "      <td>2,403.00</td>\n",
       "      <td>32.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        load  temp\n",
       "2012-01-01 00:00:00 2,698.00 32.00\n",
       "2012-01-01 01:00:00 2,558.00 32.67\n",
       "2012-01-01 02:00:00 2,444.00 30.00\n",
       "2012-01-01 03:00:00 2,402.00 31.00\n",
       "2012-01-01 04:00:00 2,403.00 32.00"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "energy = load_data('data/')\n",
    "energy.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "valid_start_dt = '2014-09-01 00:00:00'\n",
    "test_start_dt = '2014-11-01 00:00:00'\n",
    "\n",
    "T = 6\n",
    "HORIZON = 3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create training set containing only the model features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train = energy.copy()[energy.index < valid_start_dt][['load', 'temp']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Scale data to be in range (0, 1). This transformation should be calibrated on the training set only. This is to prevent information from the validation or test sets leaking into the training data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "y_scaler = MinMaxScaler()\n",
    "y_scaler.fit(train[['load']])\n",
    "\n",
    "X_scaler = MinMaxScaler()\n",
    "train[['load', 'temp']] = X_scaler.fit_transform(train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use the TimeSeriesTensor convenience class to:\n",
    "1. Shift the values of the time series to create a Pandas dataframe containing all the data for a single training example\n",
    "2. Discard any samples with missing values\n",
    "3. Transform this Pandas dataframe into a numpy array of shape (samples, time steps, features) for input into Keras\n",
    "\n",
    "The class takes the following parameters:\n",
    "\n",
    "- **dataset**: original time series\n",
    "- **H**: the forecast horizon\n",
    "- **tensor_structure**: a dictionary discribing the tensor structure in the form { 'tensor_name' : (range(max_backward_shift, max_forward_shift), [feature, feature, ...] ) }\n",
    "- **freq**: time series frequency\n",
    "- **drop_incomplete**: (Boolean) whether to drop incomplete samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "tensor_structure = {'X':(range(-T+1, 1), ['load', 'temp'])}\n",
    "train_inputs = TimeSeriesTensor(train, 'load', HORIZON, {'X':(range(-T+1, 1), ['load', 'temp'])})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe thead tr th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th>tensor</th>\n",
       "      <th colspan=\"3\" halign=\"left\">target</th>\n",
       "      <th colspan=\"12\" halign=\"left\">X</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>feature</th>\n",
       "      <th colspan=\"3\" halign=\"left\">y</th>\n",
       "      <th colspan=\"6\" halign=\"left\">load</th>\n",
       "      <th colspan=\"6\" halign=\"left\">temp</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time step</th>\n",
       "      <th>t+1</th>\n",
       "      <th>t+2</th>\n",
       "      <th>t+3</th>\n",
       "      <th>t-5</th>\n",
       "      <th>t-4</th>\n",
       "      <th>t-3</th>\n",
       "      <th>t-2</th>\n",
       "      <th>t-1</th>\n",
       "      <th>t</th>\n",
       "      <th>t-5</th>\n",
       "      <th>t-4</th>\n",
       "      <th>t-3</th>\n",
       "      <th>t-2</th>\n",
       "      <th>t-1</th>\n",
       "      <th>t</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2012-01-01 05:00:00</th>\n",
       "      <td>0.18</td>\n",
       "      <td>0.23</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-01 06:00:00</th>\n",
       "      <td>0.23</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-01 07:00:00</th>\n",
       "      <td>0.29</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.37</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.23</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-01 08:00:00</th>\n",
       "      <td>0.35</td>\n",
       "      <td>0.37</td>\n",
       "      <td>0.37</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.23</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-01 09:00:00</th>\n",
       "      <td>0.37</td>\n",
       "      <td>0.37</td>\n",
       "      <td>0.37</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.23</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.43</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "tensor              target              X                                     \\\n",
       "feature                  y           load                          temp        \n",
       "time step              t+1  t+2  t+3  t-5  t-4  t-3  t-2  t-1    t  t-5  t-4   \n",
       "2012-01-01 05:00:00   0.18 0.23 0.29 0.22 0.18 0.14 0.13 0.13 0.15 0.42 0.43   \n",
       "2012-01-01 06:00:00   0.23 0.29 0.35 0.18 0.14 0.13 0.13 0.15 0.18 0.43 0.40   \n",
       "2012-01-01 07:00:00   0.29 0.35 0.37 0.14 0.13 0.13 0.15 0.18 0.23 0.40 0.41   \n",
       "2012-01-01 08:00:00   0.35 0.37 0.37 0.13 0.13 0.15 0.18 0.23 0.29 0.41 0.42   \n",
       "2012-01-01 09:00:00   0.37 0.37 0.37 0.13 0.15 0.18 0.23 0.29 0.35 0.42 0.41   \n",
       "\n",
       "tensor                                   \n",
       "feature                                  \n",
       "time step            t-3  t-2  t-1    t  \n",
       "2012-01-01 05:00:00 0.40 0.41 0.42 0.41  \n",
       "2012-01-01 06:00:00 0.41 0.42 0.41 0.40  \n",
       "2012-01-01 07:00:00 0.42 0.41 0.40 0.39  \n",
       "2012-01-01 08:00:00 0.41 0.40 0.39 0.39  \n",
       "2012-01-01 09:00:00 0.40 0.39 0.39 0.43  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_inputs.dataframe.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Construct validation set (keeping T hours from the training set in order to construct initial features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "look_back_dt = dt.datetime.strptime(valid_start_dt, '%Y-%m-%d %H:%M:%S') - dt.timedelta(hours=T-1)\n",
    "valid = energy.copy()[(energy.index >=look_back_dt) & (energy.index < test_start_dt)][['load', 'temp']]\n",
    "valid[['load', 'temp']] = X_scaler.transform(valid)\n",
    "valid_inputs = TimeSeriesTensor(valid, 'load', HORIZON, tensor_structure)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Implement the RNN"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will implement a RNN forecasting model with the following structure:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image('./images/simple_encoder_decoder.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "from keras.models import Model, Sequential\n",
    "from keras.layers import GRU, Dense, RepeatVector, TimeDistributed, Flatten\n",
    "from keras.callbacks import EarlyStopping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "LATENT_DIM = 5\n",
    "BATCH_SIZE = 32\n",
    "EPOCHS = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "model = Sequential()\n",
    "model.add(GRU(LATENT_DIM, input_shape=(T, 2)))\n",
    "model.add(RepeatVector(HORIZON))\n",
    "model.add(GRU(LATENT_DIM, return_sequences=True))\n",
    "model.add(TimeDistributed(Dense(1)))\n",
    "model.add(Flatten())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "model.compile(optimizer='RMSprop', loss='mse')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "gru_1 (GRU)                  (None, 5)                 120       \n",
      "_________________________________________________________________\n",
      "repeat_vector_1 (RepeatVecto (None, 3, 5)              0         \n",
      "_________________________________________________________________\n",
      "gru_2 (GRU)                  (None, 3, 5)              165       \n",
      "_________________________________________________________________\n",
      "time_distributed_1 (TimeDist (None, 3, 1)              6         \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 3)                 0         \n",
      "=================================================================\n",
      "Total params: 291\n",
      "Trainable params: 291\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "earlystop = EarlyStopping(monitor='val_loss', min_delta=0, patience=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 23368 samples, validate on 1461 samples\n",
      "Epoch 1/50\n",
      "23368/23368 [==============================] - 4s 185us/step - loss: 0.0217 - val_loss: 0.0053\n",
      "Epoch 2/50\n",
      "23368/23368 [==============================] - 3s 129us/step - loss: 0.0050 - val_loss: 0.0042\n",
      "Epoch 3/50\n",
      "23368/23368 [==============================] - 3s 147us/step - loss: 0.0044 - val_loss: 0.0039\n",
      "Epoch 4/50\n",
      "23368/23368 [==============================] - 3s 129us/step - loss: 0.0041 - val_loss: 0.0035\n",
      "Epoch 5/50\n",
      "23368/23368 [==============================] - 3s 134us/step - loss: 0.0039 - val_loss: 0.0033\n",
      "Epoch 6/50\n",
      "23368/23368 [==============================] - 3s 138us/step - loss: 0.0037 - val_loss: 0.0032\n",
      "Epoch 7/50\n",
      "23368/23368 [==============================] - 3s 127us/step - loss: 0.0035 - val_loss: 0.0029\n",
      "Epoch 8/50\n",
      "23368/23368 [==============================] - 3s 130us/step - loss: 0.0034 - val_loss: 0.0029\n",
      "Epoch 9/50\n",
      "23368/23368 [==============================] - 4s 156us/step - loss: 0.0033 - val_loss: 0.0037\n",
      "Epoch 10/50\n",
      "23368/23368 [==============================] - 3s 123us/step - loss: 0.0033 - val_loss: 0.0029\n",
      "Epoch 11/50\n",
      "23368/23368 [==============================] - 4s 177us/step - loss: 0.0032 - val_loss: 0.0026\n",
      "Epoch 12/50\n",
      "23368/23368 [==============================] - 5s 195us/step - loss: 0.0032 - val_loss: 0.0032\n",
      "Epoch 13/50\n",
      "23368/23368 [==============================] - 4s 167us/step - loss: 0.0032 - val_loss: 0.0027\n",
      "Epoch 14/50\n",
      "23368/23368 [==============================] - 3s 135us/step - loss: 0.0032 - val_loss: 0.0028\n",
      "Epoch 15/50\n",
      "23368/23368 [==============================] - 4s 174us/step - loss: 0.0031 - val_loss: 0.0041\n",
      "Epoch 16/50\n",
      "23368/23368 [==============================] - 4s 172us/step - loss: 0.0031 - val_loss: 0.0034\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x1b6efcdb710>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(train_inputs['X'],\n",
    "          train_inputs['target'],\n",
    "          batch_size=BATCH_SIZE,\n",
    "          epochs=EPOCHS,\n",
    "          validation_data=(valid_inputs['X'], valid_inputs['target']),\n",
    "          callbacks=[earlystop],\n",
    "          verbose=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evaluate the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "look_back_dt = dt.datetime.strptime(test_start_dt, '%Y-%m-%d %H:%M:%S') - dt.timedelta(hours=T-1)\n",
    "test = energy.copy()[test_start_dt:][['load', 'temp']]\n",
    "test[['load', 'temp']] = X_scaler.transform(test)\n",
    "test_inputs = TimeSeriesTensor(test, 'load', HORIZON, tensor_structure)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "predictions = model.predict(test_inputs['X'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.24, 0.31, 0.39],\n",
       "       [0.31, 0.39, 0.46],\n",
       "       [0.4 , 0.46, 0.51],\n",
       "       ...,\n",
       "       [0.62, 0.57, 0.51],\n",
       "       [0.58, 0.54, 0.48],\n",
       "       [0.54, 0.5 , 0.46]], dtype=float32)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>h</th>\n",
       "      <th>prediction</th>\n",
       "      <th>actual</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014-11-01 05:00:00</td>\n",
       "      <td>t+1</td>\n",
       "      <td>2,748.30</td>\n",
       "      <td>2,714.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2014-11-01 06:00:00</td>\n",
       "      <td>t+1</td>\n",
       "      <td>2,994.21</td>\n",
       "      <td>2,970.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2014-11-01 07:00:00</td>\n",
       "      <td>t+1</td>\n",
       "      <td>3,267.59</td>\n",
       "      <td>3,189.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2014-11-01 08:00:00</td>\n",
       "      <td>t+1</td>\n",
       "      <td>3,405.73</td>\n",
       "      <td>3,356.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2014-11-01 09:00:00</td>\n",
       "      <td>t+1</td>\n",
       "      <td>3,537.20</td>\n",
       "      <td>3,436.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            timestamp    h  prediction   actual\n",
       "0 2014-11-01 05:00:00  t+1    2,748.30 2,714.00\n",
       "1 2014-11-01 06:00:00  t+1    2,994.21 2,970.00\n",
       "2 2014-11-01 07:00:00  t+1    3,267.59 3,189.00\n",
       "3 2014-11-01 08:00:00  t+1    3,405.73 3,356.00\n",
       "4 2014-11-01 09:00:00  t+1    3,537.20 3,436.00"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eval_df = create_evaluation_df(predictions, test_inputs, HORIZON, y_scaler)\n",
    "eval_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "h\n",
       "t+1   0.02\n",
       "t+2   0.04\n",
       "t+3   0.06\n",
       "Name: APE, dtype: float64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eval_df['APE'] = (eval_df['prediction'] - eval_df['actual']).abs() / eval_df['actual']\n",
    "eval_df.groupby('h')['APE'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.04260425015099984"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mape(eval_df['prediction'], eval_df['actual'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot actuals vs predictions at each horizon for first week of the test period. As is to be expected, predictions for one step ahead (*t+1*) are more accurate than those for 2 or 3 steps ahead"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_df = eval_df[(eval_df.timestamp<'2014-11-08') & (eval_df.h=='t+1')][['timestamp', 'actual']]\n",
    "for t in range(1, HORIZON+1):\n",
    "    plot_df['t+'+str(t)] = eval_df[(eval_df.timestamp<'2014-11-08') & (eval_df.h=='t+'+str(t))]['prediction'].values\n",
    "\n",
    "fig = plt.figure(figsize=(15, 8))\n",
    "ax = plt.plot(plot_df['timestamp'], plot_df['actual'], color='red', linewidth=4.0)\n",
    "ax = fig.add_subplot(111)\n",
    "ax.plot(plot_df['timestamp'], plot_df['t+1'], color='blue', linewidth=4.0, alpha=0.75)\n",
    "ax.plot(plot_df['timestamp'], plot_df['t+2'], color='blue', linewidth=3.0, alpha=0.5)\n",
    "ax.plot(plot_df['timestamp'], plot_df['t+3'], color='blue', linewidth=2.0, alpha=0.25)\n",
    "plt.xlabel('timestamp', fontsize=12)\n",
    "plt.ylabel('load', fontsize=12)\n",
    "ax.legend(loc='best')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.5",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
